301 to 325 of 595 Machine Learning Jobs in London

/CD, automation, and platform reliability Running production workloads with high availability requirements Plus, experience with one or more of the following: MLOps or ML platform engineering RAG architectures, embeddings, or vector search Model serving, observability or performance optimisation Data/AI workflow orchestration in Databricks or similar ecosystems ...

Position data as a strategic business enabler, not just technology Shape deals across: Data Engineering & Modern Data Platforms BI, Insights & Advanced Analytics AI/ML & Predictive Analytics Customer & Marketing Analytics Data Governance & Quality Deal Ownership & Execution Own the end-to-end sales cycle from prospecting to closure Partner with ...

strong emphasis on Azure-based data solutions. * Expert-level knowledge of Azure and/or Snowflake services, including Data Factory, Data Lake, Azure ML, and Power BI/Fabric. * Proven experience with infrastructure-as-code using Terraform and building CI/CD pipelines via Azure DevOps and GitHub Actions. * Strong ...

Must have experience building data engineering pipelines in Azure Experience in Azure including Azure Fabric, Data Factory and Azure integrated services such as ML Studio, Foundry, Synapse, Cosmos Deep expertise in deploying and scaling generative AI solutions within Azure, including proficiency with databases, Prompt Flow, virtual machines, and Azure Foundry. ...

Familiarity with: Clinical trial tools (e.g. CTMS) Data-heavy SaaS platforms Any experience supporting SaaS demos or pre-sales activity Awareness of AI/ML applications in healthcare or life sciences Personal Traits Highly articulate - able to explain "complex things simply" Confident and credible in client-facing situations Curious, coachable ...

DSIT Guidelines and HMRC’s Guidelines for Compliance (GfC) to accurately assess qualification across a wide range of sectors, including software engineering, AI/ML, life sciences, materials science, electronics, and advanced manufacturing. Critically evaluate whether client projects genuinely meet the threshold for an advance in overall knowledge or capability ...

operationally. What you’ll bring. Proven executive leadership building partner engineering teams within enterprise software ecosystems Deep technical fluency in data platforms, AI/ML, analytics, cloud integration patterns, connectors, workflow systems and marketplace consumption architectures. Experience launching production‐hardened joint solutions with hyperscalers and GSIs with measurable revenue ...

that improve efficiency, decision-making and service delivery. Key responsibilities Build, operate and maintain AI development and production environments using Azure services, including AI, ML and GenAI workloads. Design and manage CI/CD and MLOps pipelines to support model development, deployment, monitoring and lifecycle management. Provision and secure cloud … environments using Infrastructure as Code, with a strong focus on automation, compliance and best practice. Develop and integrate AI applications and services, including classical ML, NLP, RAG and generative AI solutions. Support experimentation and proof-of-concept work through secure AI sandboxes and evaluation of emerging tools and platforms. Monitor ...

with ontologies, semantic data platforms, and AI agents. Design decision systems - Go beyond modelling to architect end-to-end decision systems combining data pipelines, ML models, business rules, semantic layers and AI agents, all embedded in real workflows and operational systems. Grow the business - Drive new client relationships and expand … decision science, data science, quantitative modelling, or operations research. Proven track record applying models in live business decision environments. Strong fluency in Python, modern ML tools, and decision optimisation frameworks. Deep understanding of statistical modelling and machine learning with experience deploying models into production-scale systems. Beneficial: pricing ...

around experimentation, high standards and rapid feedback loops You'll work closely with senior engineering leadership who have previously scaled large distributed systems and ML-driven platforms at global technology companies. Tech Environment Cross-platform Flutter applications Will consider anyone from a native iOS/Android background who is happy … work in Flutter Backend systems built in Python, Rust and TypeScript Cloud-native architecture on GCP (BigQuery, Cloud Run) Extensive use of ML modelling and LLM inference Robotics and IoT integrations across operational workflows What You'll Do Take ownership of mobile engineering end-to-end using Flutter Work across ...

reliability Partner closely with commercial teams on business critical problems Influence technical direction as the platform evolves Get exposure to AI initiatives with learning and development support About the Candidate The right Senior Data Engineer should have: Strong experience with SQL, Postgres, and Python Background working with pricing … business and explaining technical decisions Either experienced leading technically, or showing clear potential to step into leadership Curious, driven, and keen to keep learning — particularly around AI and emerging tech Nice to Have Experience coaching or mentoring junior engineers and sharing knowledge Exposure to commodities, pricing, or financial market ...

sharpness in problem solving. Evidence of personal agency in driving toward net optimal outcomes. Strong machine learning priors, ideally with experience training ML models for production use-cases. Ability to hold large, complex systems in working memory and reason clearly about mechanics and failure-modes. Attention to detail. ...

Inference Group is a fast-growing data and AI consultancy dedicated to helping organisations unlock their true potential through the transformative power of data, machine learning, and AI. Working with customers worldwide we help turn cutting-edge ideas into scalable, operational solutions that enhance human decision-making … deep technical expertise with a practical, delivery-focused mindset. As we grow, we’re looking for like-minded people who are excited by lifelong learning, eager to challenge existing ways of working, and motivated to make a real impact in an AI-driven world. Role Overview We’re partnering ...

just building models, but delivering solutions that directly impact how the business operates. What You’ll Be Doing Designing and delivering AI/ML solutions used across the business Working directly with stakeholders to turn ideas into production-ready tools Owning the full lifecycle: concept → build → deploy → iterate Collaborating with … data and engineering teams to scale solutions effectively What They’re Looking For 2 years’ experience in AI/ML/Data Science/Engineering Degree in Computer Science, Data Science, Machine Learning or similar Strong communicator - comfortable working directly with business users Curious, proactive, and keen ...

signature tools, collaboration solutions and transaction management systems. Design and build customised collaboration portals and document automation products. Develop and deliver tailored training and learning resources for lawyers and Business Services staff. Work closely with practice groups to drive ongoing adoption of legal technology tools and provide individual user … ability to quickly adopt new technologies. Experience with collaboration tools such as HighQ, Legatics, SmartSheet, or SharePoint preferred. Experience with generative AI or machine-learning-based legal tools (e.g., Harvey, CoCounsel, Kira) is a plus. Experience with document automation platforms (e.g., Contract Express, HotDocs, PatternBuilder, Office & Dragons) strongly ...

primary-sourced databases, a wealth of key survey and forecast data from our industry partners, and a robust offering of archive databases that drive machine learning for big data applications. We continuously display up-to-the-minute data from over 2500 government and private sources via integration with … economists, data scientist, strategists and risk managers within the corporate marketplace and public sector. This is an exciting opportunity for anyone interested in learning the business of professional big data analytics, risk management and economic research. The Account Representative position is full time and will be based ...

global research and development firm is seeking a Machine Learning Engineer to join their London team. The ideal candidate will have expertise in deep learning model development, optimizations, and strong software engineering skills. Responsibilities include researching and optimizing AI-driven video compression models, producing high-quality research ...

Candidate - Experience in personal lines pricing (Home insurance is desirable) Strong analytical skills with Python and/or SQL Understanding of statistical modelling/machine learning Commercial, proactive, and able to work at pace Degree in a numerate discipline (or equivalent experience) Location - London or Liverpool Salary ...

skills/experience are required: Business Analyst/Product Owner background Proven experience in Data Financial product/traded product knowledge Any experience with Machine Learning/Large Language Models (LLM)/Data Science is desirable. Excellent communication skills Salary: Excellent + bonus + package Location: London (good ...

years of relevant experience Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus Capacity to multi-task in a fast paced environment while keeping strong attention to detail Coding ...

technical delivery with client engagement in a fast-moving startup environment Your Skills and Experience Strong commercial experience using Python in applied AI or machine learning contexts Proven delivery of end-to-end AI solutions such as RAG systems, LLM-powered applications, or agent-based workflows Experience working ...

data analysis, modelling, and reporting Utilize key R libraries such as: tidyverse (data manipulation and visualization) data.table (high-performance data processing) caret/mlr3 (machine learning) shiny (interactive dashboards) plumber (API development) Create reusable R modules and packages for internal use Configure and manage R environments across local ...

owning your own work & projects Are genuinely excited by building products from the ground up Qualifications Bonus points for academic or applied experience in machine learning, especially if you can bridge the gap between research and production. Required Skills Relentless about self-improvement and hold yourself to incredibly ...

leading gaming company in London is looking for a Principal Data Scientist to lead high-impact data science initiatives. The role involves building machine learning solutions that drive player engagement and retention. Candidates should have a PhD or MSc and over 5 years of experience delivering data products ...

Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step ...